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Tokenization can secure sensitive payment data as well as deliver seamless payment experiences to increase customer loyalty. When China’s Shenzhen Mindray Bio-Medical Electronics Co., Ltd. was bombarded with equipment requests during the pandemic, it used SAP technologies to create a digital platform ensuring rapid price configuration and delivery. By Bryan Kirschner, Vice President, Strategy at DataStax – From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Case in point: One oil refinery switched to an intelligent edge computing model and doubled its output while cutting maintenance costs in half. Intel® Cloud Optimizer by Densify applies automation to cloud instance choice and configuration to achieve savings at all levels. Small- and mid-size businesses looking to harness the power of data-driven transformation are focused on modernizing data infrastructure. We examine the critical strategies to make that happen. Artificial intelligence and machine learning require big data and HPC solutions Organizations that excel at leveraging data in decision making enjoy >3x greater revenue. In a strategic move to compete for better talent and improve its operations, one company decided it was time to modernize. Here’s what happened when they started by looking inward. How Huawei plans to unleash the data potential across different industries with digital technologies As businesses push to transform operations, it’s a perfect time to take a closer look at your systems and drive efficiency by re-tooling. A glimpse at a few of the top obstacles confronting teams today on their value stream management adoption journey, and strategies for overcoming these impediments. Secure your spot in the elite 20% of organizations who will succeed when scaling their digital business by adopting a data-driven, modern approach to data democratization and access governance. The complexity resulting from adopting multiple cloud-based data services is straining traditional data security and privacy approaches. The time has come for CISOs and CDAOs to collaborate and define a security and privacy strategy to future-proof organizations' data-driven mandates. Optimizing business value creation of data versus risk, security, privacy, and compliance is a balancing act, requiring co-ownership and coordination across the CISO, CDAO, and CIO.
Data and analytics infrastructure is widespread across IT and the business. A modern, broad data security strategy is required to manage this complexity.
A little encryption here, some masking over there, someone accessing your data elsewhere, and…how are you supposed to keep track of all that? Time to unify your data access.
When applications for short-term work skyrocketed in Switzerland during the COVID-19 lockdown, the Canton of Zurich used SAP’s Intelligent Robotic Process Automation to process documents and payments. Managing third-party risk may require a lot of effort but the stakes are too high to ignore potential threats that may negatively impact revenue, reputation, and customer trust.
Risk reporting is critical to enabling your company’s executive team to make an informed decision to mitigate risk and advance the company’s objective. Here’s how to do it effectively.